In 2025, the Communications-Electronics Command Software Engineering Center advanced the Army’s modernization portfolio ...
An AI-guided platform at Penn Medicine allows clinicians to quickly and easily unearth pertinent information from patients’ ...
As organizations consider the synergy of digital twins and RTLS for factory optimization, having a clear understanding of ...
As early adopters have discovered, Copilot delivers real transformation only when it becomes an integral part of critical ...
Comparison of Deep-Learning Models for Classification of Cellular Phenotype From Flow Cytometry Data
Abstract: This study compares the relative utility of deep learning models as automated phenotypic classifiers, built with features of peripheral blood cell populations assayed with flow cytometry. We ...
GridFM DataKit (gridfm-datakit) is a Python library for generating realistic, diverse, and scalable synthetic datasets for power flow (PF) and optimal power flow (OPF) machine learning solvers. It ...
Abstract: Distributed deep learning (DL) training constitutes a significant portion of workloads in modern data centers that are equipped with high computational capacities, such as GPU servers.
The European Commission has renewed its data adequacy agreement with the UK, guaranteeing free flow of data with the European Union (EU) for a further six years. The agreement assures that the UK’s ...
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